LTG decomposes series into trend and seasonal parts, learns latent factors with a conditional beta-VAE and domain regularization, and feeds them to a forecaster to improve generalization to unseen domains.
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Learning Latent Spaces for Domain Generalization in Time Series Forecasting
LTG decomposes series into trend and seasonal parts, learns latent factors with a conditional beta-VAE and domain regularization, and feeds them to a forecaster to improve generalization to unseen domains.